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Indicadores para monitoramento de pesquisa em saúde no Brasil

2006· article· pt· W2135531615 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCiência da Informação · 2006
Typearticle
Languagept
FieldSocial Sciences
TopicPublic Health in Brazil
Canadian institutionsUniversité de Montréal
FundersMinistério da Saúde
KeywordsPolitical scienceHumanitiesGynecologyMedicinePhilosophy

Abstract

fetched live from OpenAlex

No Brasil, o Ministério da Saúde é importante financiador e usuário de pesquisas e projetos de desenvolvimento tecnológico. No entanto, os mecanismos formais de acompanhamento do fomento a pesquisas são incipientes. O objetivo do trabalho foi propor indicadores para monitorar o fomento das pesquisas financiadas. As necessidades de informação foram identificadas, e os indicadores foram formulados baseados em visitas a órgãos de fomento à pesquisa no Brasil, revisão de literatura e reuniões técnicas. Os indicadores informam quais pesquisas são financiadas e qual a correlação com as prioridades da política de saúde; como ocorre a distribuição do financiamento; quais externalidades foram produzidas pela pesquisa. Discute-se a importância do monitoramento para designar recursos em pesquisas prioritárias. O uso dos indicadores pode guiar a construção de base de dados no Ministério da Saúde.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.230
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.006

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.351
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it